Carlo D'Eramo

Reinforcement Learning and Computational Decision-Making Julius-Maximilians-Universität Würzburg Würzburg, Germany

reinforcement learning computational decision-making control tasks multi-task reinforcement learning

D’Eramo heads the Reinforcement Learning and Computational Decision-Making professorship at CAIDAS, focused on effective strategies for decision-making and control in simulation and the real world.

Pros

Dedicated reinforcement-learning professorship, giving an excellent topical fit
Active at NeurIPS/ICML/AAAI on multi-task and value-based RL methods
Maintains a widely used open-source RL library, signalling strong engineering culture

RLCDM official page

A quick heads-up: This list is a work in progress! The focus tags and pros are AI-generated, so they might occasionally miss the mark. If you spot any missing labs, notice an error, or have ideas for improvements, please feel free to open a pull request. We’d love your help making this better!